Understanding the impact of circuit-level inaccuracy on sensor network performance
conference paper
Energy efficiency is of paramount importance in designing low-power wireless sensor nodes. Approximate computing is a new circuit-level technique for reducing power consumption. However, the gain in power by applying this technique is achieved at the cost of computational errors. The impact of such inaccuracies in the circuit level of a radio transceiver chip on the performance of Wireless Sensor Networks has not yet been explored. The applicability of such low-power chip design techniques depends on the overall energy gain and their impact on the network performance. In this paper, we analyze various inaccuracy fields in a radio chip, and quantify their impact on the network performance, in terms of packet latency, goodput, and energy per bit. The analysis is supported by extensive network simulations. The outcome can be used to investigate in which WSN application scenarios such power reduction techniques at circuit level can be applied, given the network performance and energy consumption requirements. © 2018 Association for Computing Machinery.
Topics
Approximate computingQoS provisioning in wireless and mobile networksSensor and actuator networksComputer network performance evaluationEnergy efficiencyEnergy utilizationGreen computingNetwork performanceRadio transceiversSensor nodesTiming circuitsUbiquitous computingWireless ad hoc networksComputational errorLow power wirelessNetwork simulationPower reduction techniquesQOS provisioningWireless sensor networkLow power electronics
TNO Identifier
844214
ISSN
9781450359610
Source
15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2018, 28 October 2018 through 2 November 2018, pp. 107-114.
Publisher
Association for Computing Machinery, Inc
Source title
PE-WASUN 2018 - Proceedings of the 15th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks
Pages
107-114
Files
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